Jeff Dean

18 papers and 10.1k indexed citations i.

Jeff Dean has authored 18 papers that have received a total of 10.1k indexed citations. This includes 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. The topics of these papers are Domain Adaptation and Few-Shot Learning (4 papers), COVID-19 diagnosis using AI (3 papers) and Advanced Neural Network Applications (3 papers). Jeff Dean is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), COVID-19 diagnosis using AI (3 papers) and Advanced Neural Network Applications (3 papers) and collaborates with scholars based in United States, Poland and Israel. Jeff Dean's co-authors include Quoc V. Le, Greg S. Corrado, Katherine Chou, Hieu Pham and Barret Zoph and has published in prestigious journals such as Nature, Nature Medicine and Computer